mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
        return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
        1e-10))` Alternatively, you can override `convolution_op`: `python class
        StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
        kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],

### CVE-2021-25741: Symlink Exchange Can Allow Host Filesystem Access

A security issue was discovered in Kubernetes where a user may be able to
create a container with subpath volume mounts to access files &
directories outside of the volume, including on the host filesystem.

**Affected Versions**:
  - kubelet v1.22.0 - v1.22.1
  - kubelet v1.21.0 - v1.21.4
  - kubelet v1.20.0 - v1.20.10